---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-lv-60-espeak-cv-ft
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f2

This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2691
- Per: 0.2744

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Per    |
|:-------------:|:-------:|:-----:|:---------------:|:------:|
| 17.7607       | 0.7194  | 400   | 4.5613          | 0.9850 |
| 4.4044        | 1.4388  | 800   | 4.0840          | 0.9850 |
| 4.0699        | 2.1583  | 1200  | 3.6606          | 0.9850 |
| 3.2389        | 2.8777  | 1600  | 1.5561          | 0.4345 |
| 2.0542        | 3.5971  | 2000  | 0.8710          | 0.3440 |
| 1.5827        | 4.3165  | 2400  | 0.6341          | 0.3114 |
| 1.352         | 5.0360  | 2800  | 0.4889          | 0.2939 |
| 1.2081        | 5.7554  | 3200  | 0.4297          | 0.2884 |
| 1.1192        | 6.4748  | 3600  | 0.3864          | 0.2869 |
| 1.0281        | 7.1942  | 4000  | 0.3653          | 0.2859 |
| 0.9994        | 7.9137  | 4400  | 0.3475          | 0.2835 |
| 0.9303        | 8.6331  | 4800  | 0.3358          | 0.2819 |
| 0.8754        | 9.3525  | 5200  | 0.3202          | 0.2824 |
| 0.8718        | 10.0719 | 5600  | 0.3114          | 0.2802 |
| 0.8346        | 10.7914 | 6000  | 0.3123          | 0.2787 |
| 0.8321        | 11.5108 | 6400  | 0.3063          | 0.2799 |
| 0.818         | 12.2302 | 6800  | 0.3025          | 0.2799 |
| 0.7748        | 12.9496 | 7200  | 0.2995          | 0.2772 |
| 0.7789        | 13.6691 | 7600  | 0.2962          | 0.2770 |
| 0.7745        | 14.3885 | 8000  | 0.2965          | 0.2786 |
| 0.7377        | 15.1079 | 8400  | 0.2898          | 0.2758 |
| 0.7354        | 15.8273 | 8800  | 0.2926          | 0.2764 |
| 0.7333        | 16.5468 | 9200  | 0.2885          | 0.2768 |
| 0.7084        | 17.2662 | 9600  | 0.2859          | 0.2772 |
| 0.7146        | 17.9856 | 10000 | 0.2832          | 0.2744 |
| 0.6901        | 18.7050 | 10400 | 0.2833          | 0.2755 |
| 0.695         | 19.4245 | 10800 | 0.2860          | 0.2758 |
| 0.6795        | 20.1439 | 11200 | 0.2813          | 0.2751 |
| 0.675         | 20.8633 | 11600 | 0.2769          | 0.2739 |
| 0.6778        | 21.5827 | 12000 | 0.2766          | 0.2746 |
| 0.6734        | 22.3022 | 12400 | 0.2761          | 0.2757 |
| 0.6602        | 23.0216 | 12800 | 0.2713          | 0.2751 |
| 0.6633        | 23.7410 | 13200 | 0.2721          | 0.2747 |
| 0.6686        | 24.4604 | 13600 | 0.2683          | 0.2744 |
| 0.6388        | 25.1799 | 14000 | 0.2683          | 0.2740 |
| 0.6695        | 25.8993 | 14400 | 0.2674          | 0.2740 |
| 0.6453        | 26.6187 | 14800 | 0.2682          | 0.2737 |
| 0.6552        | 27.3381 | 15200 | 0.2699          | 0.2743 |
| 0.6273        | 28.0576 | 15600 | 0.2710          | 0.2744 |
| 0.6399        | 28.7770 | 16000 | 0.2690          | 0.2739 |
| 0.6349        | 29.4964 | 16400 | 0.2691          | 0.2744 |


### Framework versions

- Transformers 4.57.6
- Pytorch 2.9.1+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2